Survey
* Your assessment is very important for improving the work of artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the work of artificial intelligence, which forms the content of this project
Biomedical Informatics Some Observations on Clinical Data Representation in EHRs Christopher G. Chute, MD DrPH, Mayo Clinic Chair, ICD11 Revision, World Health Organization Chair, ISO Tech. Comm. TC215 Health Informatics International Conference on Biomedical Ontology Buffalo, 30 July 2011 Biomedical Informatics From Practice-based Evidence to Evidence-based Practice Data Patient Encounters Decision support Clinical Databases Registries et al. Inference Shared Semantics Ontology Medical Knowledge Vocabularies & Terminologies Expert Systems Clinical Guidelines © 2007 Mayo Clinic College of Medicine Knowledge Management 2 Biomedical Informatics Blois, 1988 Medicine and the nature of vertical reasoning • Molecular: receptors, enzymes, vitamins, drugs • Genes, SNPs, gene regulation • Physiologic pathways, regulatory changes • Cellular metabolism, interaction, meiosis,… • Tissue function, integrity • Organ function, pathology • Organism (Human), disease • Sociology, environment, nutrition, mental health… © 2007 Mayo Clinic College of Medicine 3 en o m Pr et ot ics ab eo ol M m ic ol i ec Pat cs hw M ul ol ar ay ec M ul od s ar el Si in m g C ul el at lu i M la ol r M on ec od ul el ar G s en A om ss ay ic Te s B io s sp tin g ec im e La ns b D is D ea Tri at al a se s & Sy Dat M ed nd a ro Pa ic a tie l I me m nt Re agi ng c EH or d R D St a ru ta ct ur es M G Biomedical Informatics The Continuum Of Biomedical Informatics Bioinformatics meets Medical Informatics Biology 9 8 © 2007 Mayo Clinic College of Medicine Medicine 10 Chasm of Semantic Despair 7 6 5 4 3 2 1 0 4 Biomedical Informatics The Historical Center of the Health Data Universe Billable Diagnoses Clinical Data Billable Diagnoses © 2007 Mayo Clinic College of Medicine 5 Biomedical Informatics Copernican Healthcare (Niklas Koppernigk) Clinical Data Clinical Guidelines Billable Diagnoses Scientific Literature Medical Literature Clinical Data © 2007 Mayo Clinic College of Medicine 6 Biomedical Informatics World Health Organization; ICD-11 7 Biomedical Informatics World Health Organization; ICD-11 8 Biomedical Informatics Familiar Points Along Continuum Modern Health Vocabularies • Nomenclature – Highly Detailed Descriptions (SNOMED) • Classification – Organized Aggregation of Descriptions into a Rubric (ICDs) • Groupings – High Level Categories of Rubrics (DRGs) Aggregation Nomenclature Detailed Groupers Classification Groups Grouped © 2007 Mayo Clinic College of Medicine 9 Biomedical Informatics Aggregation Logics by domain rule-based aggregations Decision Support and Error Detection Public Health and Surveillance Reimbursement and Management Findings Events Interventions © 2007 Mayo Clinic College of Medicine Outcome Research and Epidemiology 10 Biomedical Informatics ICD11 Use Cases • Scientific consensus of clinical • phenotype Public Health Surveillance • Mortality • Public Health Morbidity • Clinical data aggregation • Metrics of clinical activity • Quality management • Patient Safety • Financial administration • Case mix • Resource allocation © 2007 Mayo Clinic College of Medicine 11 Biomedical Informatics Traditional Hierarchical System ICD-10 and family © 2007 Mayo Clinic College of Medicine 12 Biomedical Informatics Addition of semantic arcs - Ontology Relationships Logical Definitions Etiology Genomic Location Laterality Histology Severity Acuity © 2007 Mayo Clinic College of Medicine 13 Biomedical Informatics Linear views may serve multiple use-cases Morbidity, Mortality, Quality, … © 2007 Mayo Clinic College of Medicine 14 Biomedical Informatics ICD11 Content Model TITLE : Name of disease, disorder, or syndrome… 1. 1. 2. 3. 4. 5. 6. 7. 8. 9. Textual definition 2. Synonyms - Inclusion – Exclusion - Index terms Maintenance attributes Descriptive characteristics Type Disease, disorder, syndrome, injury, A. Unique identifier sign/symptom, external cause, reason for B. Subset, adaptation, and encounter Body System(s) (pathophysiology) special view flag 1. Primary Care Body Part(s) (anatomical site) 2. Clinical Care Manifestation Attributes a. Signs & Symptoms b. Diagnostic Findings Causal Properties (etiology) a. Causal Mechanisms /Agents b. Genomic characteristics Temporal Properties Severity and/or Extent Functional Impact Treatment 3. Research 4. Special indices (e.g. Public Health Indices or Resource Groupings) C. Hierarchical relationships parents and children in ICD structure D. Mapping relationships • Linkages to other systems like SNOMED etc. A. Other rules Biomedical Informatics Relationship with IHTSDO SNOMED content • IHT (SNOMED) will require high-level nodes that aggregate more granular data • Use-cases include mutually exclusive, exhaustive,… • Sounds a lot like ICD • ICD-11 will require lower level terminology for value sets which populate content model • Detailed terminological underpinning • Sounds a lot like SNOMED • Memorandum of Agreement – July 2010! • WHO right to use for authoring and interpretation 16 ICD11 and SNOMED Biomedical Informatics Potential Future States SNOMED ICD-11 Ghost ICD Ghost SNOMED © 2007 Mayo Clinic College of Medicine 17 Biomedical Informatics ICD-11 Joint Alternate Future ICD-IHTSDO Effort SNOMED © 2007 Mayo Clinic College of Medicine 18